71. Abbott, L. F., and <strong>Sejnowski</strong>, T. J., Neural codes and distributed representations:Foundations of neural computation, In: L. F. Abbott and T. J. <strong>Sejnowski</strong> (Eds.) Neuralcodes and distributed representations: Foundations of neural computation, MIT Press,Cambridge, MA, vii-xxiii (1999).72. Destexhe, A., McCormick, D. A., and <strong>Sejnowski</strong> T. J., Thalamic and thalamocorticalmechanisms underlying 3 Hz spike-and-wave discharges, In: J. Reggia, E. Ruppin, andD. Glanzman (Eds.) Brain, Behavioral, and Cognitive Disorders: TheNeurocomputational Perspective, Elsevier, Amsterdam, 289-307 (1999).73. Pouget, A., Deneve, S. and <strong>Sejnowski</strong>, T. J., Frames of reference in hemineglect: Acomputational approach, In: J. Reggia, E. Ruppin, and D. Glanzman (Eds.) Progress inBrain Research: Brain, Behavioral, and Cognitive Disorders: The NeurocomputationalPerspective, Elsevier, Amsterdam, 121, 81-97 (1999).74. Doya, K., and <strong>Sejnowski</strong>, T. J., A computational model of avian song learning, In: M.S. Gazzaniga (Ed.), The New Cognitive Neurosciences, 2nd edition, pages 469-482, MITPress, Cambridge, MA (2000).75. Stiles, J. S., Bartol, T. M., Salpeter, M. M., Salpeter, E. E., and <strong>Sejnowski</strong>, T. J.,Synaptic Variability: New insights from reconstructions and Monte Carlo simulationswith MCell, In: Synapses, W. M. Cowan, T. C. Sudhoff, and C. F,. Stevens (Eds.),Baltimore, Johns Hopkins University, 681-731(2000).76. Zhang, K., and <strong>Sejnowski</strong>, T. J., Accuracy and learning in neuronal populations, In:Progress in Brain Research: Population Coding, edited by Miguel Nicolelis, Elsevier, 130,333-342 (2001).77. Rao, R. P. N., and <strong>Sejnowski</strong>, T. J., Predictive learning of temporal sequences inrecurrent neocortical circuits, In: Complexity in biological information processing,Gregory Bock and Jamie Goode (Eds.), John Wiley and Sons LTD, England, 208-233(2001).78. Obermayer, K., and <strong>Sejnowski</strong>, T. J., Self-organizing map formation: Foundations ofneural computation, In: K. Obermayer and T. J. <strong>Sejnowski</strong> (Eds.), Self-organizing mapformation: Foundations of neural computation , MIT Press, Cambridge, MA , xi-xvii(2001).79. Jordan, M., and <strong>Sejnowski</strong>, T. J., Graphical models: Foundations of neuralcomputation, In: M. Jordan and T. J. <strong>Sejnowski</strong> (Eds.), Graphical Models: Foundationsof neural computation , MIT Press, Cambridge, MA, xi-xxiv (2001).80. Hinton, G. E., and <strong>Sejnowski</strong>, T. J., Learning and relearning in Boltzmann machines, In:M. Jordan and T. J. <strong>Sejnowski</strong> (Eds.), Graphical Models: Foundations of neuralcomputation , MIT Press, Cambridge, MA, 45-76 (2001).81. Goodhill, Geoffrey J., and <strong>Sejnowski</strong>, <strong>Terrence</strong> J., A unifying objective function fortopographic mappings, In: K. Obermayer and T. J. <strong>Sejnowski</strong> (Eds.), Self-organizingmap formation: Foundations of neural computation , MIT Press, Cambridge, MA 69-81(2001).
82. Wiskott, Laurenz, and Sejnowsi, <strong>Terrence</strong>, Constrained optimization for neural mapformation: A unifying framework for weight growth and normalization, In: K.Obermayer and T. J. <strong>Sejnowski</strong> (Eds.), Self-organizing map formation: Foundations ofneural computation , MIT Press, Cambridge, MA 83-128 (2001).83. Makeig, S., Jung, T.-P., Ghahremani, D., and <strong>Sejnowski</strong>, T. J., In: T. Nakada (Ed.)Independent component analysis of simulated ERP data, Human Higher Function I:Advanced Methodologies, (in press).84. Bell, A. J., and <strong>Sejnowski</strong>, T. J., In: M. Fahle and T. Poggio (Eds). Finding independentcomponents in natural scenes, In: Perceptual Learning, MIT Press (in press).85. Schraudolph, N. N., Dayan, P., and <strong>Sejnowski</strong>, T. J., Learning to evaluate Go positionsvia temporal difference methods, In: Soft Computing Techniques in Game Playing,Lakhmi C. Jain and N. Baba (Eds.), Springer Verlag, Berlin (in press).86. Destexhe, A., and <strong>Sejnowski</strong>, T. J., Sleep oscillations: Electrophysiology and modeling,In: The Handbook of Brain Theory and Neural Networks (2nd ed), edited by M.A.Arbib, MIT Press, Cambridge (in press).Abstracts:1. <strong>Sejnowski</strong>, T. J. and Yodlowski, M. L., A freeze-fracture study of skate electroreceptor,Biological Bulletin 155, 465 (1978).2. <strong>Sejnowski</strong>, T. J., Kelley, D. B. Paton, J. A. and Yodlowski, M. L., Quantitative 3H-2-deoxyglucose mapping of the auditory central nervous system in Xenopus laevis,Society for Neuroscience Abstracts 5:30 (1979).3. Reingold, S. C. and <strong>Sejnowski</strong>, T. J., 3H-2-deoxyglucose uptake in the molluscancentral nervous system, Society for Neuroscience Abstracts 6:74 (1980).4. <strong>Sejnowski</strong>, T. J. and Kuffler, S. W., Integration of peptidergic and muscarinic synaptictransmission in amphibian sympathetic ganglion neurons, Society for NeuroscienceAbstracts 7, 726 (1981).5. <strong>Sejnowski</strong>, T. J., Cortical computation, Proceedings 6th Annual Conference of theCognitive Science Society, Boulder, CO (June 1984).6. <strong>Sejnowski</strong>, T. J., Kienker, P. K., and Shepherd, G. M., Simple pattern recognitionmodels of olfactory discrimination, Society for Neuroscience Abstracts 11, 970 (1985).7. Cohen, N. J., Abrams, I., Harley, W. S., Tabor, L., and <strong>Sejnowski</strong>, T., Skill learningand repetition priming in symmetry detection: Parallel studies of human subjects andconnectionist models, 8th Annual Conference of the Cognitive Science Society,Amherst, MA (1986).8. Cohen, N. J., Abrams, I., Harley, W. S., Tabor, L., Gordon, B. and <strong>Sejnowski</strong>, T.,Perceptual skill learning and repetition priming for novel materials in patients, normalsubjects, and neuron-like network models, Society for Neuroscience Abstracts 12,1162 (1986).
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